MatchingTools swMATH ID: 27512 Software Authors: Juan C. Criado Description: MatchingTools: a Python library for symbolic effective field theory calculations. MatchingTools is a Python library for doing symbolic calculations in effective field theory. It provides the tools to construct general models by defining their field content and their interaction Lagrangian. Once a model is given, the heavy particles can be integrated out at the tree level to obtain an effective Lagrangian in which only the light particles appear. After integration, some of the terms of the resulting Lagrangian might not be independent. MatchingTools contains functions for transforming these terms to rewrite them in terms of any chosen set of operators. Homepage: https://arxiv.org/abs/1710.06445 Source Code: https://github.com/jccriado/matchingtools Dependencies: Python Keywords: High Energy Physics; arXiv_hep-ph; effective; tree; integration; matching; redundancies; python Related Software: DsixTools; CoDEx; Wilson; SMEFTsim; FeynRules; Rosetta; WCxf; DEFT; SmeftFR; DirectDM; Mathematica; Python; FormCalc; WHIZARD; FeynArts; CalcHEP; HEPfit; flavio; BasisGen; SMEFT@NLO Cited in: 5 Publications Standard Articles 1 Publication describing the Software Year MatchingTools: a Python library for symbolic effective field theory calculations Juan C. Criado 2017 all top 5 Cited by 9 Authors 3 Criado, Juan Carlos 2 Pérez-Victoria, Manuel 1 Alonso, Rodrigo 1 de Blas, Jorge 1 Dedes, Athanasios 1 Paraskevas, M. 1 Rosiek, Janusz 1 Suxho, Kristaq 1 Trifyllis, L. Cited in 2 Serials 3 Journal of High Energy Physics 2 Computer Physics Communications Cited in 3 Fields 5 Quantum theory (81-XX) 2 Relativity and gravitational theory (83-XX) 1 Statistical mechanics, structure of matter (82-XX) Citations by Year